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Keywords {🔍}

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10/site-packages/pandas/core/internals/managers 10/site-packages/pandas/core/internals/blocks 10/site-packages/pandas/core/series 10/site-packages/pandas/core/generic 10/site-packages/pandas/core/missing prevent regressions good tests unit test personal information bug comment metadata assignees nullable extension arrays /library/frameworks/python phofl added darwin os-release type projects import pandas utf-8 pandas na df['a'] triage issue projects milestone bug exists latest version prevent regressions replace fails e8093ba python 0 python-bits pandas main branch framework/versions/3 behavior needed issue inplace=true info clarification local machine 10/lib/python3 dtype=bool na_value=false 'bool' object 8~1/release_x86_64 machine x86_64 processor i386 byteorder utf-8 locale milestone relationships na values 'a'] = pd attribute 'to_numpy' works fine 0 version github eyeballs replace

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DiscussionForumPosting:
      context:https://schema.org
      headline:BUG: DataFrame.replace fails to replace value when column contains pd.NA
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame({'A': [0, 1, 2]}) print(df) # A # 0 0 # 1 1 # 2 2 df['A'].replace(to_replace=2, value=99, inplace=True) print(df) # A # 0 0 # 1 1 # 2 99 df.at[0, 'A'] = pd.NA df['A'].replace(to_replace=1, value=100, inplace=True) print(df) # A # 0 <NA> # 1 1 <-- should be 100 # 2 99 ``` ### Issue Description Pandas replace function does not seem to work on a column if the column contains at least one pd.NA value ### Expected Behavior replace function should work even if pd.NA values are in the column ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d python : 3.10.0.final.0 python-bits : 64 OS : Linux OS-release : 5.16.19-76051619-generic Version : #202204081339~1649696161~20.04~091f44b~dev-Ubuntu SMP PREEMPT Tu machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.5 numpy : 1.21.2 pytz : 2021.3 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.29.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.5.1 numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.8.0 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : None </details>
      author:
         url:https://github.com/pschwientek
         type:Person
         name:pschwientek
      datePublished:2022-06-23T01:34:40.000Z
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      url:https://github.com/47480/pandas/issues/47480
      context:https://schema.org
      headline:BUG: DataFrame.replace fails to replace value when column contains pd.NA
      articleBody:### Pandas version checks - [X] I have checked that this issue has not already been reported. - [X] I have confirmed this bug exists on the [latest version](https://pandas.pydata.org/docs/whatsnew/index.html) of pandas. - [X] I have confirmed this bug exists on the main branch of pandas. ### Reproducible Example ```python import pandas as pd df = pd.DataFrame({'A': [0, 1, 2]}) print(df) # A # 0 0 # 1 1 # 2 2 df['A'].replace(to_replace=2, value=99, inplace=True) print(df) # A # 0 0 # 1 1 # 2 99 df.at[0, 'A'] = pd.NA df['A'].replace(to_replace=1, value=100, inplace=True) print(df) # A # 0 <NA> # 1 1 <-- should be 100 # 2 99 ``` ### Issue Description Pandas replace function does not seem to work on a column if the column contains at least one pd.NA value ### Expected Behavior replace function should work even if pd.NA values are in the column ### Installed Versions <details> INSTALLED VERSIONS ------------------ commit : 66e3805b8cabe977f40c05259cc3fcf7ead5687d python : 3.10.0.final.0 python-bits : 64 OS : Linux OS-release : 5.16.19-76051619-generic Version : #202204081339~1649696161~20.04~091f44b~dev-Ubuntu SMP PREEMPT Tu machine : x86_64 processor : x86_64 byteorder : little LC_ALL : None LANG : en_US.UTF-8 LOCALE : en_US.UTF-8 pandas : 1.3.5 numpy : 1.21.2 pytz : 2021.3 dateutil : 2.8.2 pip : 21.2.4 setuptools : 58.0.4 Cython : None pytest : None hypothesis : None sphinx : None blosc : None feather : None xlsxwriter : 3.0.3 lxml.etree : None html5lib : None pymysql : None psycopg2 : None jinja2 : 3.0.2 IPython : 7.29.0 pandas_datareader: None bs4 : None bottleneck : None fsspec : None fastparquet : None gcsfs : None matplotlib : 3.5.1 numexpr : None odfpy : None openpyxl : 3.0.9 pandas_gbq : None pyarrow : None pyxlsb : None s3fs : None scipy : 1.8.0 sqlalchemy : None tables : None tabulate : None xarray : None xlrd : None xlwt : None numba : None </details>
      author:
         url:https://github.com/pschwientek
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         name:pschwientek
      datePublished:2022-06-23T01:34:40.000Z
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      url:https://github.com/47480/pandas/issues/47480
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      name:pschwientek
      url:https://github.com/pschwientek
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